Dr. Suvojit Ghosh

Co-Founder and Managing DirectorComputing Infrastructure Research Centre (CIRC) at McMaster University

Dr. Suvojit Ghosh is the co-founder and managing director of the Computing Infrastructure Research Centre (CIRC) at McMaster University, one of the only three datacenter R&D centres in the world. Dr. Ghosh brings a unique combination of scientific and entrepreneurial skills relevant to the data centre industry. He was given the McMaster President’s Award, the highest honour of the University, to recognize his contributions in architecting and managing CIRC, which presents a pioneering model for research ecosystems at the interface of industry and academia. Dr. Ghosh has an excellent understanding of the various funding mechanisms available to research projects, comprising all Canadian government granting sources, and a history and linkages with private investment groups in Canada and the US. He has raised $10M+ for research projects. Prior to joining McMaster, Dr. Ghosh founded NanoSpin Inc., a company to commercialize a liquid cooling technology for datacentres, which he developed during his PhD studies at Virginia Tech. Dr. Ghosh was awarded a $50,000 NSF I-Corps grant and the VT KnowledgeWorks Tech Transfer Challenge award valued at $100,000 to take NanoSpin forward. Dr. Ghosh brings a diverse research and technology commercialization background, spanning Engineering, Life Sciences, Materials Science, Chemistry, and Applied Physics, documented through publications in high impact journals. He has a PhD in Engineering Mechanics from Virginia Tech (2013), and a BE in Mechanical Engineering from Jadavpur University (2009).

Our computing needs are changing in two major ways. More complex algorithms involving artificial intelligence are exponentially growing total capacity requirements, while IoT has presented extremely low latency tolerance, and thus computing at the edge. In this session, we will explore the most promising emerging and “re-invented” technologies that are rising up to tackle these two grand challenges and shed light on likely expenditure post-implementation.